[−][src]Trait opencv::hub_prelude::ERStatTrait
The ERStat structure represents a class-specific Extremal Region (ER).
An ER is a 4-connected set of pixels with all its grey-level values smaller than the values in its outer boundary. A class-specific ER is selected (using a classifier) from all the ER's in the component tree of the image. :
Required methods
pub fn as_raw_ERStat(&self) -> *const c_void
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pub fn as_raw_mut_ERStat(&mut self) -> *mut c_void
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Provided methods
pub fn pixel(&self) -> i32
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seed point and the threshold (max grey-level value)
pub fn set_pixel(&mut self, val: i32)
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seed point and the threshold (max grey-level value)
pub fn level(&self) -> i32
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pub fn set_level(&mut self, val: i32)
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pub fn area(&self) -> i32
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incrementally computable features
pub fn set_area(&mut self, val: i32)
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incrementally computable features
pub fn perimeter(&self) -> i32
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pub fn set_perimeter(&mut self, val: i32)
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pub fn euler(&self) -> i32
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Euler's number
pub fn set_euler(&mut self, val: i32)
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Euler's number
pub fn rect(&self) -> Rect
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pub fn set_rect(&mut self, val: Rect)
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pub fn raw_moments(&mut self) -> &mut [f64; 2]
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order 1 raw moments to derive the centroid
pub fn central_moments(&mut self) -> &mut [f64; 3]
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order 2 central moments to construct the covariance matrix
pub fn med_crossings(&self) -> f32
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median of the crossings at three different height levels
pub fn set_med_crossings(&mut self, val: f32)
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median of the crossings at three different height levels
pub fn hole_area_ratio(&self) -> f32
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2nd stage features
pub fn set_hole_area_ratio(&mut self, val: f32)
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2nd stage features
pub fn convex_hull_ratio(&self) -> f32
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pub fn set_convex_hull_ratio(&mut self, val: f32)
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pub fn num_inflexion_points(&self) -> f32
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pub fn set_num_inflexion_points(&mut self, val: f32)
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pub fn probability(&self) -> f64
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probability that the ER belongs to the class we are looking for
pub fn set_probability(&mut self, val: f64)
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probability that the ER belongs to the class we are looking for
pub fn parent(&mut self) -> ERStat
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pointers preserving the tree structure of the component tree
pub fn set_parent(&mut self, val: &mut ERStat)
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pointers preserving the tree structure of the component tree
pub fn child(&mut self) -> ERStat
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pub fn set_child(&mut self, val: &mut ERStat)
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pub fn next(&mut self) -> ERStat
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pub fn set_next(&mut self, val: &mut ERStat)
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pub fn prev(&mut self) -> ERStat
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pub fn set_prev(&mut self, val: &mut ERStat)
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pub fn local_maxima(&self) -> bool
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whenever the regions is a local maxima of the probability
pub fn set_local_maxima(&mut self, val: bool)
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whenever the regions is a local maxima of the probability